Market Models of Security Investments with Shared Spectrum

Zongyun Xie*, Randall A. Berry

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Security is a critical concern in shared spectrum environments, where attacks can degrade service and influence market interactions between competing service providers (SPs). This paper examines market models in shared spectrum defense, focusing on the strategic interplay between SPs and attackers within licensed shared bands. We develop models to study SPs' investments in security against revenue-minimizing attackers, i.e., attackers that account for the underlying competition between SPs and seek to minimize the revenue they obtain in this market. We further consider both competitive and collaborative setting. In the competitive setting, we characterize equilibrium investment outcomes, while in the collaborative case, we consider the investments made by a central planner. Our numerical results show that at times the competitive setting can lead to over-investment.

Original languageEnglish (US)
Title of host publication2024 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-230
Number of pages4
ISBN (Electronic)9798350317640
DOIs
StatePublished - 2024
Event2024 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2024 - Washington, United States
Duration: May 13 2024May 16 2024

Publication series

Name2024 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2024

Conference

Conference2024 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2024
Country/TerritoryUnited States
CityWashington
Period5/13/245/16/24

Funding

This work was supported in part by the National Science Foundation (NSF) SII-Center: SpectrumX An NSF Spectrum Innovation Center Grant (Federal Grant Number 2132700) and by NSF grants CNS-1908807 and CNS-2148183.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Aerospace Engineering

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